Overview

Dataset statistics

Number of variables50
Number of observations1323
Missing cells6818
Missing cells (%)10.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.9 MiB
Average record size in memory3.0 KiB

Variable types

Numeric4
Categorical25
Text10
Unsupported11

Alerts

b1 is highly imbalanced (74.3%)Imbalance
BMGc5 is highly imbalanced (50.6%)Imbalance
BMGc23b is highly imbalanced (61.4%)Imbalance
BMGc23f is highly imbalanced (55.1%)Imbalance
BMGd7 is highly imbalanced (57.9%)Imbalance
BMGe2u is highly imbalanced (60.7%)Imbalance
n2e has 434 (32.8%) missing valuesMissing
n2i has 1171 (88.5%) missing valuesMissing
n2p has 434 (32.8%) missing valuesMissing
BMGc2 has 542 (41.0%) missing valuesMissing
BMGc5 has 852 (64.4%) missing valuesMissing
BMGc8 has 1157 (87.5%) missing valuesMissing
BMGc24 has 652 (49.3%) missing valuesMissing
BMGc27 has 447 (33.8%) missing valuesMissing
BMGe2u has 1129 (85.3%) missing valuesMissing
Unnamed: 0 is uniformly distributedUniform
Unnamed: 0 has unique valuesUnique
id has unique valuesUnique
b7a is an unsupported type, check if it needs cleaning or further analysisUnsupported
BMGa1 is an unsupported type, check if it needs cleaning or further analysisUnsupported
BMGa2 is an unsupported type, check if it needs cleaning or further analysisUnsupported
BMGa4 is an unsupported type, check if it needs cleaning or further analysisUnsupported
BMGb1 is an unsupported type, check if it needs cleaning or further analysisUnsupported
BMGb2 is an unsupported type, check if it needs cleaning or further analysisUnsupported
BMGc7 is an unsupported type, check if it needs cleaning or further analysisUnsupported
BMGc8 is an unsupported type, check if it needs cleaning or further analysisUnsupported
BMGc16 is an unsupported type, check if it needs cleaning or further analysisUnsupported
BMGc18 is an unsupported type, check if it needs cleaning or further analysisUnsupported
BMGd6 is an unsupported type, check if it needs cleaning or further analysisUnsupported
ecology_index has 536 (40.5%) zerosZeros

Reproduction

Analysis started2024-04-17 11:00:14.080028
Analysis finished2024-04-17 11:00:17.461696
Duration3.38 seconds
Software versionydata-profiling vv4.7.0
Download configurationconfig.json

Variables

Unnamed: 0
Real number (ℝ)

UNIFORM  UNIQUE 

Distinct1323
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean661
Minimum0
Maximum1322
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-04-17T15:00:17.674824image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile66.1
Q1330.5
median661
Q3991.5
95-th percentile1255.9
Maximum1322
Range1322
Interquartile range (IQR)661

Descriptive statistics

Standard deviation382.06151
Coefficient of variation (CV)0.57800532
Kurtosis-1.2
Mean661
Median Absolute Deviation (MAD)331
Skewness0
Sum874503
Variance145971
MonotonicityStrictly increasing
2024-04-17T15:00:17.853294image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1
 
0.1%
888 1
 
0.1%
886 1
 
0.1%
885 1
 
0.1%
884 1
 
0.1%
883 1
 
0.1%
882 1
 
0.1%
881 1
 
0.1%
880 1
 
0.1%
879 1
 
0.1%
Other values (1313) 1313
99.2%
ValueCountFrequency (%)
0 1
0.1%
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
ValueCountFrequency (%)
1322 1
0.1%
1321 1
0.1%
1320 1
0.1%
1319 1
0.1%
1318 1
0.1%
1317 1
0.1%
1316 1
0.1%
1315 1
0.1%
1314 1
0.1%
1313 1
0.1%

id
Real number (ℝ)

UNIQUE 

Distinct1323
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean342241.03
Minimum22
Maximum699777
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-04-17T15:00:18.002641image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum22
5-th percentile510.5
Q12732.5
median525776
Q3601797
95-th percentile612242.1
Maximum699777
Range699755
Interquartile range (IQR)599064.5

Descriptive statistics

Standard deviation286677.42
Coefficient of variation (CV)0.83764772
Kurtosis-1.8415052
Mean342241.03
Median Absolute Deviation (MAD)79433
Skewness-0.27084531
Sum4.5278488 × 108
Variance8.2183942 × 1010
MonotonicityStrictly increasing
2024-04-17T15:00:18.170099image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
22 1
 
0.1%
597220 1
 
0.1%
596973 1
 
0.1%
596882 1
 
0.1%
596829 1
 
0.1%
596728 1
 
0.1%
596715 1
 
0.1%
596688 1
 
0.1%
596668 1
 
0.1%
596628 1
 
0.1%
Other values (1313) 1313
99.2%
ValueCountFrequency (%)
22 1
0.1%
29 1
0.1%
34 1
0.1%
50 1
0.1%
56 1
0.1%
90 1
0.1%
103 1
0.1%
126 1
0.1%
135 1
0.1%
139 1
0.1%
ValueCountFrequency (%)
699777 1
0.1%
699775 1
0.1%
699770 1
0.1%
699752 1
0.1%
699748 1
0.1%
699557 1
0.1%
699522 1
0.1%
699488 1
0.1%
699482 1
0.1%
699445 1
0.1%

a4a
Categorical

Distinct8
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size201.2 KiB
Другие Услуги
264 
Другое Производство
180 
Розничная торговля
159 
Еда
157 
Неметаллические Минеральные продукты
142 
Other values (3)
421 

Length

Max length36
Median length19
Mean length18.45805
Min length3

Characters and Unicode

Total characters24420
Distinct characters34
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowГотовые Металлические Изделия
2nd rowМашины и оборудование
3rd rowДругое Производство
4th rowГотовые Металлические Изделия
5th rowДругие Услуги

Common Values

ValueCountFrequency (%)
Другие Услуги 264
20.0%
Другое Производство 180
13.6%
Розничная торговля 159
12.0%
Еда 157
11.9%
Неметаллические Минеральные продукты 142
10.7%
Готовые Металлические Изделия 141
10.7%
Предметы одежды 141
10.7%
Машины и оборудование 139
10.5%

Length

2024-04-17T15:00:18.311222image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T15:00:18.493665image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
другие 264
 
9.1%
услуги 264
 
9.1%
другое 180
 
6.2%
производство 180
 
6.2%
розничная 159
 
5.5%
торговля 159
 
5.5%
еда 157
 
5.4%
минеральные 142
 
4.9%
продукты 142
 
4.9%
неметаллические 142
 
4.9%
Other values (8) 1122
38.5%

Most occurring characters

ValueCountFrequency (%)
е 2563
 
10.5%
о 2179
 
8.9%
и 2133
 
8.7%
1588
 
6.5%
р 1347
 
5.5%
л 1272
 
5.2%
д 1182
 
4.8%
т 1046
 
4.3%
а 1019
 
4.2%
у 989
 
4.0%
Other values (24) 9102
37.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 24420
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
е 2563
 
10.5%
о 2179
 
8.9%
и 2133
 
8.7%
1588
 
6.5%
р 1347
 
5.5%
л 1272
 
5.2%
д 1182
 
4.8%
т 1046
 
4.3%
а 1019
 
4.2%
у 989
 
4.0%
Other values (24) 9102
37.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 24420
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
е 2563
 
10.5%
о 2179
 
8.9%
и 2133
 
8.7%
1588
 
6.5%
р 1347
 
5.5%
л 1272
 
5.2%
д 1182
 
4.8%
т 1046
 
4.3%
а 1019
 
4.2%
у 989
 
4.0%
Other values (24) 9102
37.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 24420
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
е 2563
 
10.5%
о 2179
 
8.9%
и 2133
 
8.7%
1588
 
6.5%
р 1347
 
5.5%
л 1272
 
5.2%
д 1182
 
4.8%
т 1046
 
4.3%
а 1019
 
4.2%
у 989
 
4.0%
Other values (24) 9102
37.3%

a6a
Categorical

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size139.5 KiB
Малый
523 
Крупный
400 
Средний
400 

Length

Max length7
Median length7
Mean length6.2093726
Min length5

Characters and Unicode

Total characters8215
Distinct characters14
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowМалый
2nd rowКрупный
3rd rowСредний
4th rowМалый
5th rowМалый

Common Values

ValueCountFrequency (%)
Малый 523
39.5%
Крупный 400
30.2%
Средний 400
30.2%

Length

2024-04-17T15:00:18.709585image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T15:00:18.900352image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
малый 523
39.5%
крупный 400
30.2%
средний 400
30.2%

Most occurring characters

ValueCountFrequency (%)
й 1323
16.1%
ы 923
11.2%
р 800
9.7%
н 800
9.7%
М 523
 
6.4%
а 523
 
6.4%
л 523
 
6.4%
К 400
 
4.9%
у 400
 
4.9%
п 400
 
4.9%
Other values (4) 1600
19.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 8215
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
й 1323
16.1%
ы 923
11.2%
р 800
9.7%
н 800
9.7%
М 523
 
6.4%
а 523
 
6.4%
л 523
 
6.4%
К 400
 
4.9%
у 400
 
4.9%
п 400
 
4.9%
Other values (4) 1600
19.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 8215
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
й 1323
16.1%
ы 923
11.2%
р 800
9.7%
н 800
9.7%
М 523
 
6.4%
а 523
 
6.4%
л 523
 
6.4%
К 400
 
4.9%
у 400
 
4.9%
п 400
 
4.9%
Other values (4) 1600
19.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 8215
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
й 1323
16.1%
ы 923
11.2%
р 800
9.7%
н 800
9.7%
М 523
 
6.4%
а 523
 
6.4%
л 523
 
6.4%
К 400
 
4.9%
у 400
 
4.9%
п 400
 
4.9%
Other values (4) 1600
19.5%

a2
Categorical

Distinct7
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size275.7 KiB
Центральный Федеральный округ
293 
Приволжский федеральный округ
211 
Северо-Западный федеральный округ
184 
Сибирский федеральный округ
180 
Уральский федеральный округ
161 
Other values (2)
294 

Length

Max length61
Median length33
Mean length33.252457
Min length27

Characters and Unicode

Total characters43993
Distinct characters34
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowЦентральный Федеральный округ
2nd rowЦентральный Федеральный округ
3rd rowЦентральный Федеральный округ
4th rowЦентральный Федеральный округ
5th rowЦентральный Федеральный округ

Common Values

ValueCountFrequency (%)
Центральный Федеральный округ 293
22.1%
Приволжский федеральный округ 211
15.9%
Северо-Западный федеральный округ 184
13.9%
Сибирский федеральный округ 180
13.6%
Уральский федеральный округ 161
12.2%
Южный федеральный округ и Северо-Кавказский федеральный округ 157
11.9%
Дальневосточный федеральный округ 137
10.4%

Length

2024-04-17T15:00:19.090676image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T15:00:19.287828image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
федеральный 1480
32.2%
округ 1480
32.2%
центральный 293
 
6.4%
приволжский 211
 
4.6%
северо-западный 184
 
4.0%
сибирский 180
 
3.9%
уральский 161
 
3.5%
южный 157
 
3.4%
и 157
 
3.4%
северо-кавказский 157
 
3.4%

Most occurring characters

ValueCountFrequency (%)
р 4146
 
9.4%
е 4072
 
9.3%
3274
 
7.4%
й 2960
 
6.7%
а 2753
 
6.3%
н 2681
 
6.1%
к 2346
 
5.3%
о 2306
 
5.2%
л 2282
 
5.2%
ы 2251
 
5.1%
Other values (24) 14922
33.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 43993
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
р 4146
 
9.4%
е 4072
 
9.3%
3274
 
7.4%
й 2960
 
6.7%
а 2753
 
6.3%
н 2681
 
6.1%
к 2346
 
5.3%
о 2306
 
5.2%
л 2282
 
5.2%
ы 2251
 
5.1%
Other values (24) 14922
33.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 43993
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
р 4146
 
9.4%
е 4072
 
9.3%
3274
 
7.4%
й 2960
 
6.7%
а 2753
 
6.3%
н 2681
 
6.1%
к 2346
 
5.3%
о 2306
 
5.2%
л 2282
 
5.2%
ы 2251
 
5.1%
Other values (24) 14922
33.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 43993
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
р 4146
 
9.4%
е 4072
 
9.3%
3274
 
7.4%
й 2960
 
6.7%
а 2753
 
6.3%
н 2681
 
6.1%
к 2346
 
5.3%
о 2306
 
5.2%
л 2282
 
5.2%
ы 2251
 
5.1%
Other values (24) 14922
33.9%

a0
Categorical

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size173.6 KiB
Производство
889 
Другие услуги
282 
Розничная торговля
152 

Length

Max length18
Median length12
Mean length12.902494
Min length12

Characters and Unicode

Total characters17070
Distinct characters20
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowПроизводство
2nd rowПроизводство
3rd rowПроизводство
4th rowДругие услуги
5th rowДругие услуги

Common Values

ValueCountFrequency (%)
Производство 889
67.2%
Другие услуги 282
 
21.3%
Розничная торговля 152
 
11.5%

Length

2024-04-17T15:00:19.613129image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T15:00:20.040341image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
производство 889
50.6%
другие 282
 
16.1%
услуги 282
 
16.1%
розничная 152
 
8.7%
торговля 152
 
8.7%

Most occurring characters

ValueCountFrequency (%)
о 3123
18.3%
в 1930
11.3%
и 1605
9.4%
р 1323
7.8%
с 1171
 
6.9%
з 1041
 
6.1%
т 1041
 
6.1%
П 889
 
5.2%
д 889
 
5.2%
у 846
 
5.0%
Other values (10) 3212
18.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 17070
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
о 3123
18.3%
в 1930
11.3%
и 1605
9.4%
р 1323
7.8%
с 1171
 
6.9%
з 1041
 
6.1%
т 1041
 
6.1%
П 889
 
5.2%
д 889
 
5.2%
у 846
 
5.0%
Other values (10) 3212
18.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 17070
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
о 3123
18.3%
в 1930
11.3%
и 1605
9.4%
р 1323
7.8%
с 1171
 
6.9%
з 1041
 
6.1%
т 1041
 
6.1%
П 889
 
5.2%
д 889
 
5.2%
у 846
 
5.0%
Other values (10) 3212
18.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 17070
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
о 3123
18.3%
в 1930
11.3%
и 1605
9.4%
р 1323
7.8%
с 1171
 
6.9%
з 1041
 
6.1%
т 1041
 
6.1%
П 889
 
5.2%
д 889
 
5.2%
у 846
 
5.0%
Other values (10) 3212
18.8%

b1
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size524.4 KiB
Акционерная компания с неторгуемыми акциями или акции, обращающиеся в частном порядке
1221 
Акционерное общество, акции которого обращаются на фондовом рынке
 
99
Индивидуальный предприниматель
 
3

Length

Max length85
Median length85
Mean length83.378685
Min length30

Characters and Unicode

Total characters110310
Distinct characters30
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowАкционерная компания с неторгуемыми акциями или акции, обращающиеся в частном порядке
2nd rowАкционерная компания с неторгуемыми акциями или акции, обращающиеся в частном порядке
3rd rowАкционерная компания с неторгуемыми акциями или акции, обращающиеся в частном порядке
4th rowАкционерная компания с неторгуемыми акциями или акции, обращающиеся в частном порядке
5th rowАкционерная компания с неторгуемыми акциями или акции, обращающиеся в частном порядке

Common Values

ValueCountFrequency (%)
Акционерная компания с неторгуемыми акциями или акции, обращающиеся в частном порядке 1221
92.3%
Акционерное общество, акции которого обращаются на фондовом рынке 99
 
7.5%
Индивидуальный предприниматель 3
 
0.2%

Length

2024-04-17T15:00:20.336015image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T15:00:20.716259image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
акции 1320
9.3%
акционерная 1221
8.6%
компания 1221
8.6%
частном 1221
8.6%
в 1221
8.6%
обращающиеся 1221
8.6%
порядке 1221
8.6%
или 1221
8.6%
акциями 1221
8.6%
неторгуемыми 1221
8.6%
Other values (10) 1920
13.5%

Most occurring characters

ValueCountFrequency (%)
12906
11.7%
и 12519
11.3%
а 8949
 
8.1%
о 8514
 
7.7%
н 6609
 
6.0%
е 6507
 
5.9%
к 6501
 
5.9%
м 6207
 
5.6%
я 6204
 
5.6%
р 5286
 
4.8%
Other values (20) 30108
27.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 110310
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
12906
11.7%
и 12519
11.3%
а 8949
 
8.1%
о 8514
 
7.7%
н 6609
 
6.0%
е 6507
 
5.9%
к 6501
 
5.9%
м 6207
 
5.6%
я 6204
 
5.6%
р 5286
 
4.8%
Other values (20) 30108
27.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 110310
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
12906
11.7%
и 12519
11.3%
а 8949
 
8.1%
о 8514
 
7.7%
н 6609
 
6.0%
е 6507
 
5.9%
к 6501
 
5.9%
м 6207
 
5.6%
я 6204
 
5.6%
р 5286
 
4.8%
Other values (20) 30108
27.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 110310
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
12906
11.7%
и 12519
11.3%
а 8949
 
8.1%
о 8514
 
7.7%
н 6609
 
6.0%
е 6507
 
5.9%
к 6501
 
5.9%
м 6207
 
5.6%
я 6204
 
5.6%
р 5286
 
4.8%
Other values (20) 30108
27.3%

b5
Text

Distinct52
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size79.8 KiB
2024-04-17T15:00:21.358879image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Length

Max length7
Median length4
Mean length4.0385488
Min length4

Characters and Unicode

Total characters5343
Distinct characters17
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)1.0%

Sample

1st row2007
2nd row2002
3rd row2005
4th row2015
5th row2002
ValueCountFrequency (%)
2002 133
 
9.9%
2003 85
 
6.3%
2007 70
 
5.2%
2006 68
 
5.1%
2008 65
 
4.9%
2015 64
 
4.8%
2012 62
 
4.6%
2005 58
 
4.3%
2004 58
 
4.3%
2011 58
 
4.3%
Other values (43) 619
46.2%
2024-04-17T15:00:21.950963image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1813
33.9%
2 1312
24.6%
1 757
14.2%
9 496
 
9.3%
3 175
 
3.3%
6 148
 
2.8%
5 147
 
2.8%
7 145
 
2.7%
4 137
 
2.6%
8 94
 
1.8%
Other values (7) 119
 
2.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 5343
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 1813
33.9%
2 1312
24.6%
1 757
14.2%
9 496
 
9.3%
3 175
 
3.3%
6 148
 
2.8%
5 147
 
2.8%
7 145
 
2.7%
4 137
 
2.6%
8 94
 
1.8%
Other values (7) 119
 
2.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 5343
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 1813
33.9%
2 1312
24.6%
1 757
14.2%
9 496
 
9.3%
3 175
 
3.3%
6 148
 
2.8%
5 147
 
2.8%
7 145
 
2.7%
4 137
 
2.6%
8 94
 
1.8%
Other values (7) 119
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 5343
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 1813
33.9%
2 1312
24.6%
1 757
14.2%
9 496
 
9.3%
3 175
 
3.3%
6 148
 
2.8%
5 147
 
2.8%
7 145
 
2.7%
4 137
 
2.6%
8 94
 
1.8%
Other values (7) 119
 
2.2%

b7a
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size46.7 KiB

d1a1x
Text

Distinct1035
Distinct (%)78.2%
Missing0
Missing (%)0.0%
Memory size417.5 KiB
2024-04-17T15:00:22.586203image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Length

Max length294
Median length196
Mean length61.777778
Min length9

Characters and Unicode

Total characters81732
Distinct characters102
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique917 ?
Unique (%)69.3%

Sample

1st rowПроизводство Готовых Строительных Металлических Изделий И Конструкций
2nd rowПроизводство Насосов И Компрессоров
3rd rowПроизводство Алюминиевых И Медных Проводов, Силовых Кабелей
4th rowСтроительство жилых и нежилых зданий
5th rowОптовая Продажа Офисной Мебели
ValueCountFrequency (%)
производство 775
 
8.7%
и 706
 
7.9%
торговля 205
 
2.3%
для 205
 
2.3%
изделий 186
 
2.1%
оптовая 156
 
1.7%
розничная 152
 
1.7%
одежды 121
 
1.4%
оборудования 114
 
1.3%
продажа 112
 
1.3%
Other values (2328) 6201
69.4%
2024-04-17T15:00:24.070352image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
о 9223
 
11.3%
7610
 
9.3%
и 5647
 
6.9%
е 4546
 
5.6%
а 4251
 
5.2%
в 4132
 
5.1%
т 4064
 
5.0%
р 4020
 
4.9%
н 3955
 
4.8%
л 2926
 
3.6%
Other values (92) 31358
38.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 81732
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
о 9223
 
11.3%
7610
 
9.3%
и 5647
 
6.9%
е 4546
 
5.6%
а 4251
 
5.2%
в 4132
 
5.1%
т 4064
 
5.0%
р 4020
 
4.9%
н 3955
 
4.8%
л 2926
 
3.6%
Other values (92) 31358
38.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 81732
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
о 9223
 
11.3%
7610
 
9.3%
и 5647
 
6.9%
е 4546
 
5.6%
а 4251
 
5.2%
в 4132
 
5.1%
т 4064
 
5.0%
р 4020
 
4.9%
н 3955
 
4.8%
л 2926
 
3.6%
Other values (92) 31358
38.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 81732
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
о 9223
 
11.3%
7610
 
9.3%
и 5647
 
6.9%
е 4546
 
5.6%
а 4251
 
5.2%
в 4132
 
5.1%
т 4064
 
5.0%
р 4020
 
4.9%
н 3955
 
4.8%
л 2926
 
3.6%
Other values (92) 31358
38.4%

g1a
Categorical

Distinct16
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size99.5 KiB
0
507 
100
389 
Не применимо
308 
Не знаю
 
39
50
 
23
Other values (11)
57 

Length

Max length12
Median length7
Mean length4.3862434
Min length1

Characters and Unicode

Total characters5803
Distinct characters22
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.2%

Sample

1st row0
2nd row0
3rd row100
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 507
38.3%
100 389
29.4%
Не применимо 308
23.3%
Не знаю 39
 
2.9%
50 23
 
1.7%
80 11
 
0.8%
70 9
 
0.7%
30 9
 
0.7%
90 7
 
0.5%
40 6
 
0.5%
Other values (6) 15
 
1.1%

Length

2024-04-17T15:00:24.898124image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
0 507
30.4%
100 389
23.3%
не 347
20.8%
применимо 308
18.4%
знаю 39
 
2.3%
50 23
 
1.4%
80 11
 
0.7%
30 9
 
0.5%
70 9
 
0.5%
90 7
 
0.4%
Other values (7) 21
 
1.3%

Most occurring characters

ValueCountFrequency (%)
0 1362
23.5%
е 655
11.3%
и 616
10.6%
м 616
10.6%
1 394
 
6.8%
Н 347
 
6.0%
347
 
6.0%
н 347
 
6.0%
п 308
 
5.3%
р 308
 
5.3%
Other values (12) 503
 
8.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 5803
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 1362
23.5%
е 655
11.3%
и 616
10.6%
м 616
10.6%
1 394
 
6.8%
Н 347
 
6.0%
347
 
6.0%
н 347
 
6.0%
п 308
 
5.3%
р 308
 
5.3%
Other values (12) 503
 
8.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 5803
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 1362
23.5%
е 655
11.3%
и 616
10.6%
м 616
10.6%
1 394
 
6.8%
Н 347
 
6.0%
347
 
6.0%
н 347
 
6.0%
п 308
 
5.3%
р 308
 
5.3%
Other values (12) 503
 
8.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 5803
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 1362
23.5%
е 655
11.3%
и 616
10.6%
м 616
10.6%
1 394
 
6.8%
Н 347
 
6.0%
347
 
6.0%
н 347
 
6.0%
п 308
 
5.3%
р 308
 
5.3%
Other values (12) 503
 
8.7%

BMj4c
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size78.0 KiB
1.0
662 
0.75
306 
0.5
274 
0.25
81 

Length

Max length4
Median length3
Mean length3.292517
Min length3

Characters and Unicode

Total characters4356
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.5
2nd row0.5
3rd row0.75
4th row1.0
5th row0.5

Common Values

ValueCountFrequency (%)
1.0 662
50.0%
0.75 306
23.1%
0.5 274
20.7%
0.25 81
 
6.1%

Length

2024-04-17T15:00:25.598485image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T15:00:25.762813image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
1.0 662
50.0%
0.75 306
23.1%
0.5 274
20.7%
0.25 81
 
6.1%

Most occurring characters

ValueCountFrequency (%)
. 1323
30.4%
0 1323
30.4%
1 662
15.2%
5 661
15.2%
7 306
 
7.0%
2 81
 
1.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 4356
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 1323
30.4%
0 1323
30.4%
1 662
15.2%
5 661
15.2%
7 306
 
7.0%
2 81
 
1.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 4356
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 1323
30.4%
0 1323
30.4%
1 662
15.2%
5 661
15.2%
7 306
 
7.0%
2 81
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 4356
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 1323
30.4%
0 1323
30.4%
1 662
15.2%
5 661
15.2%
7 306
 
7.0%
2 81
 
1.9%

j30_environment_pos
Real number (ℝ)

Distinct9
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.1746032
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-04-17T15:00:26.531616image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q38
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.6813451
Coefficient of variation (CV)0.51817406
Kurtosis-1.3286039
Mean5.1746032
Median Absolute Deviation (MAD)2
Skewness-0.012837673
Sum6846
Variance7.1896117
MonotonicityNot monotonic
2024-04-17T15:00:26.778905image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
9 209
15.8%
2 168
12.7%
8 148
11.2%
3 145
11.0%
4 143
10.8%
6 142
10.7%
1 125
9.4%
7 123
9.3%
5 120
9.1%
ValueCountFrequency (%)
1 125
9.4%
2 168
12.7%
3 145
11.0%
4 143
10.8%
5 120
9.1%
6 142
10.7%
7 123
9.3%
8 148
11.2%
9 209
15.8%
ValueCountFrequency (%)
9 209
15.8%
8 148
11.2%
7 123
9.3%
6 142
10.7%
5 120
9.1%
4 143
10.8%
3 145
11.0%
2 168
12.7%
1 125
9.4%

BMj5
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size75.1 KiB
0
1044 
1
279 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1323
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 1044
78.9%
1 279
 
21.1%

Length

2024-04-17T15:00:26.947659image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T15:00:27.086938image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 1044
78.9%
1 279
 
21.1%

Most occurring characters

ValueCountFrequency (%)
0 1044
78.9%
1 279
 
21.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1323
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 1044
78.9%
1 279
 
21.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1323
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 1044
78.9%
1 279
 
21.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1323
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 1044
78.9%
1 279
 
21.1%

n2a
Text

Distinct404
Distinct (%)30.5%
Missing0
Missing (%)0.0%
Memory size94.8 KiB
2024-04-17T15:00:27.399988image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Length

Max length11
Median length7
Mean length7.5827664
Min length6

Characters and Unicode

Total characters10032
Distinct characters17
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique258 ?
Unique (%)19.5%

Sample

1st row4000000
2nd row150000000
3rd row18000000
4th row8000000
5th row2000000
ValueCountFrequency (%)
не 249
 
15.8%
знаю 249
 
15.8%
2000000 28
 
1.8%
4000000 23
 
1.5%
10000000 23
 
1.5%
3000000 21
 
1.3%
7000000 19
 
1.2%
8000000 19
 
1.2%
11000000 18
 
1.1%
6000000 18
 
1.1%
Other values (395) 905
57.6%
2024-04-17T15:00:28.349178image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6205
61.9%
1 385
 
3.8%
5 320
 
3.2%
2 303
 
3.0%
ю 249
 
2.5%
е 249
 
2.5%
Н 249
 
2.5%
а 249
 
2.5%
н 249
 
2.5%
з 249
 
2.5%
Other values (7) 1325
 
13.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 10032
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 6205
61.9%
1 385
 
3.8%
5 320
 
3.2%
2 303
 
3.0%
ю 249
 
2.5%
е 249
 
2.5%
Н 249
 
2.5%
а 249
 
2.5%
н 249
 
2.5%
з 249
 
2.5%
Other values (7) 1325
 
13.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 10032
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 6205
61.9%
1 385
 
3.8%
5 320
 
3.2%
2 303
 
3.0%
ю 249
 
2.5%
е 249
 
2.5%
Н 249
 
2.5%
а 249
 
2.5%
н 249
 
2.5%
з 249
 
2.5%
Other values (7) 1325
 
13.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 10032
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 6205
61.9%
1 385
 
3.8%
5 320
 
3.2%
2 303
 
3.0%
ю 249
 
2.5%
е 249
 
2.5%
Н 249
 
2.5%
а 249
 
2.5%
н 249
 
2.5%
з 249
 
2.5%
Other values (7) 1325
 
13.2%

n2e
Text

MISSING 

Distinct239
Distinct (%)26.9%
Missing434
Missing (%)32.8%
Memory size80.6 KiB
2024-04-17T15:00:28.770898image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Length

Max length11
Median length7
Mean length7.6074241
Min length5

Characters and Unicode

Total characters6763
Distinct characters17
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique143 ?
Unique (%)16.1%

Sample

1st row3500000
2nd row250000000
3rd row78000000
4th row120000000
5th row300000000
ValueCountFrequency (%)
не 241
21.3%
знаю 241
21.3%
3000000 22
 
1.9%
20000000 19
 
1.7%
1000000 19
 
1.7%
2000000 19
 
1.7%
5000000 18
 
1.6%
15000000 17
 
1.5%
2500000 13
 
1.2%
10000000 13
 
1.2%
Other values (230) 508
45.0%
2024-04-17T15:00:29.382099image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3990
59.0%
а 241
 
3.6%
е 241
 
3.6%
ю 241
 
3.6%
Н 241
 
3.6%
н 241
 
3.6%
з 241
 
3.6%
241
 
3.6%
1 209
 
3.1%
5 186
 
2.8%
Other values (7) 691
 
10.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 6763
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 3990
59.0%
а 241
 
3.6%
е 241
 
3.6%
ю 241
 
3.6%
Н 241
 
3.6%
н 241
 
3.6%
з 241
 
3.6%
241
 
3.6%
1 209
 
3.1%
5 186
 
2.8%
Other values (7) 691
 
10.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 6763
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 3990
59.0%
а 241
 
3.6%
е 241
 
3.6%
ю 241
 
3.6%
Н 241
 
3.6%
н 241
 
3.6%
з 241
 
3.6%
241
 
3.6%
1 209
 
3.1%
5 186
 
2.8%
Other values (7) 691
 
10.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 6763
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 3990
59.0%
а 241
 
3.6%
е 241
 
3.6%
ю 241
 
3.6%
Н 241
 
3.6%
н 241
 
3.6%
з 241
 
3.6%
241
 
3.6%
1 209
 
3.1%
5 186
 
2.8%
Other values (7) 691
 
10.2%

n2b
Text

Distinct225
Distinct (%)17.0%
Missing0
Missing (%)0.0%
Memory size103.6 KiB
2024-04-17T15:00:29.741486image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Length

Max length9
Median length7
Mean length6.3726379
Min length1

Characters and Unicode

Total characters8431
Distinct characters17
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique117 ?
Unique (%)8.8%

Sample

1st row500000
2nd row1000000
3rd row1800000
4th row370000
5th row500000
ValueCountFrequency (%)
не 481
26.7%
знаю 481
26.7%
300000 35
 
1.9%
1000000 30
 
1.7%
500000 28
 
1.6%
700000 26
 
1.4%
100000 25
 
1.4%
1500000 24
 
1.3%
2000000 24
 
1.3%
600000 23
 
1.3%
Other values (216) 627
34.8%
2024-04-17T15:00:30.110191image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3738
44.3%
а 481
 
5.7%
е 481
 
5.7%
ю 481
 
5.7%
Н 481
 
5.7%
н 481
 
5.7%
з 481
 
5.7%
481
 
5.7%
1 267
 
3.2%
5 243
 
2.9%
Other values (7) 816
 
9.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 8431
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 3738
44.3%
а 481
 
5.7%
е 481
 
5.7%
ю 481
 
5.7%
Н 481
 
5.7%
н 481
 
5.7%
з 481
 
5.7%
481
 
5.7%
1 267
 
3.2%
5 243
 
2.9%
Other values (7) 816
 
9.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 8431
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 3738
44.3%
а 481
 
5.7%
е 481
 
5.7%
ю 481
 
5.7%
Н 481
 
5.7%
н 481
 
5.7%
з 481
 
5.7%
481
 
5.7%
1 267
 
3.2%
5 243
 
2.9%
Other values (7) 816
 
9.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 8431
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 3738
44.3%
а 481
 
5.7%
е 481
 
5.7%
ю 481
 
5.7%
Н 481
 
5.7%
н 481
 
5.7%
з 481
 
5.7%
481
 
5.7%
1 267
 
3.2%
5 243
 
2.9%
Other values (7) 816
 
9.7%

n2f
Text

Distinct148
Distinct (%)11.2%
Missing0
Missing (%)0.0%
Memory size116.3 KiB
2024-04-17T15:00:30.316479image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Length

Max length9
Median length7
Mean length6.3575208
Min length1

Characters and Unicode

Total characters8411
Distinct characters17
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique74 ?
Unique (%)5.6%

Sample

1st row400000
2nd row1000000
3rd row1200000
4th row650000
5th row500000
ValueCountFrequency (%)
не 764
36.6%
знаю 764
36.6%
0 96
 
4.6%
1000000 25
 
1.2%
5000000 22
 
1.1%
2000000 19
 
0.9%
200000 18
 
0.9%
1500000 17
 
0.8%
500000 15
 
0.7%
3000000 15
 
0.7%
Other values (139) 332
15.9%
2024-04-17T15:00:30.646772image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2318
27.6%
Н 764
 
9.1%
е 764
 
9.1%
764
 
9.1%
з 764
 
9.1%
н 764
 
9.1%
а 764
 
9.1%
ю 764
 
9.1%
1 164
 
1.9%
5 139
 
1.7%
Other values (7) 442
 
5.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 8411
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 2318
27.6%
Н 764
 
9.1%
е 764
 
9.1%
764
 
9.1%
з 764
 
9.1%
н 764
 
9.1%
а 764
 
9.1%
ю 764
 
9.1%
1 164
 
1.9%
5 139
 
1.7%
Other values (7) 442
 
5.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 8411
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 2318
27.6%
Н 764
 
9.1%
е 764
 
9.1%
764
 
9.1%
з 764
 
9.1%
н 764
 
9.1%
а 764
 
9.1%
ю 764
 
9.1%
1 164
 
1.9%
5 139
 
1.7%
Other values (7) 442
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 8411
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 2318
27.6%
Н 764
 
9.1%
е 764
 
9.1%
764
 
9.1%
з 764
 
9.1%
н 764
 
9.1%
а 764
 
9.1%
ю 764
 
9.1%
1 164
 
1.9%
5 139
 
1.7%
Other values (7) 442
 
5.3%

n2i
Text

MISSING 

Distinct61
Distinct (%)40.1%
Missing1171
Missing (%)88.5%
Memory size49.4 KiB
2024-04-17T15:00:30.908661image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Length

Max length10
Median length7
Mean length7.2236842
Min length1

Characters and Unicode

Total characters1098
Distinct characters17
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique46 ?
Unique (%)30.3%

Sample

1st row18000000
2nd row200000000
3rd row8000000
4th row19200000
5th rowНе знаю
ValueCountFrequency (%)
не 70
31.5%
знаю 70
31.5%
7000000 6
 
2.7%
10000000 4
 
1.8%
3000000 3
 
1.4%
16000000 3
 
1.4%
11000000 2
 
0.9%
8000000 2
 
0.9%
9000000 2
 
0.9%
12000000 2
 
0.9%
Other values (52) 58
26.1%
2024-04-17T15:00:31.287949image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 461
42.0%
а 70
 
6.4%
е 70
 
6.4%
ю 70
 
6.4%
Н 70
 
6.4%
н 70
 
6.4%
з 70
 
6.4%
70
 
6.4%
1 37
 
3.4%
8 20
 
1.8%
Other values (7) 90
 
8.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1098
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 461
42.0%
а 70
 
6.4%
е 70
 
6.4%
ю 70
 
6.4%
Н 70
 
6.4%
н 70
 
6.4%
з 70
 
6.4%
70
 
6.4%
1 37
 
3.4%
8 20
 
1.8%
Other values (7) 90
 
8.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1098
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 461
42.0%
а 70
 
6.4%
е 70
 
6.4%
ю 70
 
6.4%
Н 70
 
6.4%
н 70
 
6.4%
з 70
 
6.4%
70
 
6.4%
1 37
 
3.4%
8 20
 
1.8%
Other values (7) 90
 
8.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1098
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 461
42.0%
а 70
 
6.4%
е 70
 
6.4%
ю 70
 
6.4%
Н 70
 
6.4%
н 70
 
6.4%
з 70
 
6.4%
70
 
6.4%
1 37
 
3.4%
8 20
 
1.8%
Other values (7) 90
 
8.2%

n2p
Text

MISSING 

Distinct297
Distinct (%)33.4%
Missing434
Missing (%)32.8%
Memory size88.3 KiB
2024-04-17T15:00:31.596750image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Length

Max length12
Median length7
Mean length7.5590551
Min length1

Characters and Unicode

Total characters6720
Distinct characters17
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique208 ?
Unique (%)23.4%

Sample

1st row7700000
2nd row410000000
3rd row100000000
4th row195000000
5th row480000000
ValueCountFrequency (%)
не 414
31.8%
знаю 414
31.8%
5000000 11
 
0.8%
10000000 7
 
0.5%
100000 7
 
0.5%
1200000000 7
 
0.5%
60000000 7
 
0.5%
4000000 6
 
0.5%
23000000 6
 
0.5%
34000000 5
 
0.4%
Other values (288) 419
32.2%
2024-04-17T15:00:32.025920image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2809
41.8%
а 414
 
6.2%
е 414
 
6.2%
ю 414
 
6.2%
Н 414
 
6.2%
н 414
 
6.2%
з 414
 
6.2%
414
 
6.2%
1 193
 
2.9%
5 169
 
2.5%
Other values (7) 651
 
9.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 6720
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 2809
41.8%
а 414
 
6.2%
е 414
 
6.2%
ю 414
 
6.2%
Н 414
 
6.2%
н 414
 
6.2%
з 414
 
6.2%
414
 
6.2%
1 193
 
2.9%
5 169
 
2.5%
Other values (7) 651
 
9.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 6720
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 2809
41.8%
а 414
 
6.2%
е 414
 
6.2%
ю 414
 
6.2%
Н 414
 
6.2%
н 414
 
6.2%
з 414
 
6.2%
414
 
6.2%
1 193
 
2.9%
5 169
 
2.5%
Other values (7) 651
 
9.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 6720
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 2809
41.8%
а 414
 
6.2%
е 414
 
6.2%
ю 414
 
6.2%
Н 414
 
6.2%
н 414
 
6.2%
з 414
 
6.2%
414
 
6.2%
1 193
 
2.9%
5 169
 
2.5%
Other values (7) 651
 
9.7%

BMGa1
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size47.4 KiB

BMGa2
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size47.1 KiB

BMGa4
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size47.6 KiB

BMGb1
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size47.1 KiB

BMGb2
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size47.1 KiB

BMGc2
Categorical

MISSING 

Distinct7
Distinct (%)0.9%
Missing542
Missing (%)41.0%
Memory size134.9 KiB
Каждый месяц
524 
Каждый квартал
134 
Каждое полугодие
63 
Каждую неделю
 
23
Каждый год
 
16
Other values (2)
 
21

Length

Max length16
Median length12
Mean length12.565941
Min length7

Characters and Unicode

Total characters9814
Distinct characters27
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowКаждый месяц
2nd rowКаждый месяц
3rd rowКаждый месяц
4th rowКаждый квартал
5th rowКаждую неделю

Common Values

ValueCountFrequency (%)
Каждый месяц 524
39.6%
Каждый квартал 134
 
10.1%
Каждое полугодие 63
 
4.8%
Каждую неделю 23
 
1.7%
Каждый год 16
 
1.2%
Не знаю 12
 
0.9%
Каждый день 9
 
0.7%
(Missing) 542
41.0%

Length

2024-04-17T15:00:32.302793image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T15:00:32.452414image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
каждый 683
43.7%
месяц 524
33.5%
квартал 134
 
8.6%
каждое 63
 
4.0%
полугодие 63
 
4.0%
каждую 23
 
1.5%
неделю 23
 
1.5%
год 16
 
1.0%
не 12
 
0.8%
знаю 12
 
0.8%

Most occurring characters

ValueCountFrequency (%)
а 1049
10.7%
д 880
 
9.0%
781
 
8.0%
К 769
 
7.8%
ж 769
 
7.8%
е 717
 
7.3%
ы 683
 
7.0%
й 683
 
7.0%
м 524
 
5.3%
с 524
 
5.3%
Other values (17) 2435
24.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 9814
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
а 1049
10.7%
д 880
 
9.0%
781
 
8.0%
К 769
 
7.8%
ж 769
 
7.8%
е 717
 
7.3%
ы 683
 
7.0%
й 683
 
7.0%
м 524
 
5.3%
с 524
 
5.3%
Other values (17) 2435
24.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 9814
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
а 1049
10.7%
д 880
 
9.0%
781
 
8.0%
К 769
 
7.8%
ж 769
 
7.8%
е 717
 
7.3%
ы 683
 
7.0%
й 683
 
7.0%
м 524
 
5.3%
с 524
 
5.3%
Other values (17) 2435
24.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 9814
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
а 1049
10.7%
д 880
 
9.0%
781
 
8.0%
К 769
 
7.8%
ж 769
 
7.8%
е 717
 
7.3%
ы 683
 
7.0%
й 683
 
7.0%
м 524
 
5.3%
с 524
 
5.3%
Other values (17) 2435
24.8%

BMGc5
Categorical

IMBALANCE  MISSING 

Distinct7
Distinct (%)1.5%
Missing852
Missing (%)64.4%
Memory size114.1 KiB
Каждый месяц
337 
Каждый квартал
73 
Каждое полугодие
34 
Не знаю
 
9
Каждый год
 
6
Other values (2)
 
12

Length

Max length16
Median length12
Mean length12.477707
Min length7

Characters and Unicode

Total characters5877
Distinct characters27
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowКаждый месяц
2nd rowКаждый месяц
3rd rowКаждый месяц
4th rowКаждый месяц
5th rowКаждый квартал

Common Values

ValueCountFrequency (%)
Каждый месяц 337
 
25.5%
Каждый квартал 73
 
5.5%
Каждое полугодие 34
 
2.6%
Не знаю 9
 
0.7%
Каждый год 6
 
0.5%
Каждую неделю 6
 
0.5%
Каждый день 6
 
0.5%
(Missing) 852
64.4%

Length

2024-04-17T15:00:32.634904image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T15:00:32.748173image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
каждый 422
44.8%
месяц 337
35.8%
квартал 73
 
7.7%
каждое 34
 
3.6%
полугодие 34
 
3.6%
не 9
 
1.0%
знаю 9
 
1.0%
год 6
 
0.6%
каждую 6
 
0.6%
неделю 6
 
0.6%

Most occurring characters

ValueCountFrequency (%)
а 617
10.5%
д 514
 
8.7%
471
 
8.0%
К 462
 
7.9%
ж 462
 
7.9%
е 432
 
7.4%
ы 422
 
7.2%
й 422
 
7.2%
м 337
 
5.7%
с 337
 
5.7%
Other values (17) 1401
23.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 5877
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
а 617
10.5%
д 514
 
8.7%
471
 
8.0%
К 462
 
7.9%
ж 462
 
7.9%
е 432
 
7.4%
ы 422
 
7.2%
й 422
 
7.2%
м 337
 
5.7%
с 337
 
5.7%
Other values (17) 1401
23.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 5877
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
а 617
10.5%
д 514
 
8.7%
471
 
8.0%
К 462
 
7.9%
ж 462
 
7.9%
е 432
 
7.4%
ы 422
 
7.2%
й 422
 
7.2%
м 337
 
5.7%
с 337
 
5.7%
Other values (17) 1401
23.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 5877
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
а 617
10.5%
д 514
 
8.7%
471
 
8.0%
К 462
 
7.9%
ж 462
 
7.9%
е 432
 
7.4%
ы 422
 
7.2%
й 422
 
7.2%
м 337
 
5.7%
с 337
 
5.7%
Other values (17) 1401
23.8%

BMGc7
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size47.9 KiB

BMGc8
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1157
Missing (%)87.5%
Memory size42.2 KiB

BMGc16
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size49.5 KiB

BMGc18
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size48.2 KiB

BMGc23a
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size75.1 KiB
0
1065 
1
258 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1323
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 1065
80.5%
1 258
 
19.5%

Length

2024-04-17T15:00:32.860282image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T15:00:32.944637image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 1065
80.5%
1 258
 
19.5%

Most occurring characters

ValueCountFrequency (%)
0 1065
80.5%
1 258
 
19.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1323
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 1065
80.5%
1 258
 
19.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1323
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 1065
80.5%
1 258
 
19.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1323
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 1065
80.5%
1 258
 
19.5%

BMGc23b
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size75.1 KiB
0
1223 
1
 
100

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1323
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 1223
92.4%
1 100
 
7.6%

Length

2024-04-17T15:00:33.035536image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T15:00:33.226342image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 1223
92.4%
1 100
 
7.6%

Most occurring characters

ValueCountFrequency (%)
0 1223
92.4%
1 100
 
7.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1323
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 1223
92.4%
1 100
 
7.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1323
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 1223
92.4%
1 100
 
7.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1323
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 1223
92.4%
1 100
 
7.6%

BMGc23c
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size75.1 KiB
0
828 
1
495 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1323
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 828
62.6%
1 495
37.4%

Length

2024-04-17T15:00:33.455569image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T15:00:33.695481image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 828
62.6%
1 495
37.4%

Most occurring characters

ValueCountFrequency (%)
0 828
62.6%
1 495
37.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1323
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 828
62.6%
1 495
37.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1323
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 828
62.6%
1 495
37.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1323
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 828
62.6%
1 495
37.4%

BMGc23d
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size75.1 KiB
0
870 
1
453 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1323
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 870
65.8%
1 453
34.2%

Length

2024-04-17T15:00:33.860543image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T15:00:34.037653image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 870
65.8%
1 453
34.2%

Most occurring characters

ValueCountFrequency (%)
0 870
65.8%
1 453
34.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1323
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 870
65.8%
1 453
34.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1323
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 870
65.8%
1 453
34.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1323
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 870
65.8%
1 453
34.2%

BMGc23e
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size75.1 KiB
0
1030 
1
293 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1323
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 1030
77.9%
1 293
 
22.1%

Length

2024-04-17T15:00:34.361975image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T15:00:34.517811image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 1030
77.9%
1 293
 
22.1%

Most occurring characters

ValueCountFrequency (%)
0 1030
77.9%
1 293
 
22.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1323
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 1030
77.9%
1 293
 
22.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1323
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 1030
77.9%
1 293
 
22.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1323
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 1030
77.9%
1 293
 
22.1%

BMGc23f
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size75.1 KiB
0
1199 
1
124 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1323
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 1199
90.6%
1 124
 
9.4%

Length

2024-04-17T15:00:34.669901image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T15:00:34.865989image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 1199
90.6%
1 124
 
9.4%

Most occurring characters

ValueCountFrequency (%)
0 1199
90.6%
1 124
 
9.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1323
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 1199
90.6%
1 124
 
9.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1323
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 1199
90.6%
1 124
 
9.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1323
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 1199
90.6%
1 124
 
9.4%

BMGc23g
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size75.1 KiB
0
994 
1
329 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1323
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 994
75.1%
1 329
 
24.9%

Length

2024-04-17T15:00:35.033410image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T15:00:35.183812image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 994
75.1%
1 329
 
24.9%

Most occurring characters

ValueCountFrequency (%)
0 994
75.1%
1 329
 
24.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1323
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 994
75.1%
1 329
 
24.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1323
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 994
75.1%
1 329
 
24.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1323
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 994
75.1%
1 329
 
24.9%

BMGc23h
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size75.1 KiB
0
995 
1
328 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1323
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 995
75.2%
1 328
 
24.8%

Length

2024-04-17T15:00:35.343844image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T15:00:35.544941image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 995
75.2%
1 328
 
24.8%

Most occurring characters

ValueCountFrequency (%)
0 995
75.2%
1 328
 
24.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1323
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 995
75.2%
1 328
 
24.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1323
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 995
75.2%
1 328
 
24.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1323
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 995
75.2%
1 328
 
24.8%

BMGc23i
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size75.1 KiB
0
872 
1
451 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1323
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row0
3rd row1
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 872
65.9%
1 451
34.1%

Length

2024-04-17T15:00:35.738784image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T15:00:35.892726image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 872
65.9%
1 451
34.1%

Most occurring characters

ValueCountFrequency (%)
0 872
65.9%
1 451
34.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1323
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 872
65.9%
1 451
34.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1323
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 872
65.9%
1 451
34.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1323
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 872
65.9%
1 451
34.1%

BMGc23j
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size75.1 KiB
0
1167 
1
156 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1323
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 1167
88.2%
1 156
 
11.8%

Length

2024-04-17T15:00:36.060720image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T15:00:36.221223image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 1167
88.2%
1 156
 
11.8%

Most occurring characters

ValueCountFrequency (%)
0 1167
88.2%
1 156
 
11.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1323
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 1167
88.2%
1 156
 
11.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1323
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 1167
88.2%
1 156
 
11.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1323
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 1167
88.2%
1 156
 
11.8%

BMGc24
Categorical

MISSING 

Distinct12
Distinct (%)1.8%
Missing652
Missing (%)49.3%
Memory size192.4 KiB
Модернизация машин и оборудования
187 
Минимизация отходов, вторичная переработка и управление отходами
106 
Управление энергопотреблением
83 
Усовершенствования системы освещения
58 
Модернизация транспортных средств
53 
Other values (7)
184 

Length

Max length72
Median length64
Mean length37.964232
Min length7

Characters and Unicode

Total characters25474
Distinct characters36
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowМодернизация машин и оборудования
2nd rowМодернизация машин и оборудования
3rd rowМодернизация машин и оборудования
4th rowУправление энергопотреблением
5th rowМинимизация отходов, вторичная переработка и управление отходами

Common Values

ValueCountFrequency (%)
Модернизация машин и оборудования 187
 
14.1%
Минимизация отходов, вторичная переработка и управление отходами 106
 
8.0%
Управление энергопотреблением 83
 
6.3%
Усовершенствования системы освещения 58
 
4.4%
Модернизация транспортных средств 53
 
4.0%
Ничего из вышеперечисленного 47
 
3.6%
Другие меры по борьбе с загрязнением 31
 
2.3%
Улучшения в области отопления и охлаждения 30
 
2.3%
Меры по борьбе с загрязнением воздуха 23
 
1.7%
Не знаю 22
 
1.7%
Other values (2) 31
 
2.3%
(Missing) 652
49.3%

Length

2024-04-17T15:00:36.601789image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
и 323
 
11.3%
модернизация 240
 
8.4%
управление 206
 
7.2%
оборудования 187
 
6.5%
машин 187
 
6.5%
переработка 106
 
3.7%
отходами 106
 
3.7%
вторичная 106
 
3.7%
отходов 106
 
3.7%
минимизация 106
 
3.7%
Other values (34) 1182
41.4%

Most occurring characters

ValueCountFrequency (%)
и 2768
 
10.9%
о 2457
 
9.6%
2278
 
8.9%
е 2234
 
8.8%
н 1851
 
7.3%
а 1693
 
6.6%
р 1692
 
6.6%
в 1035
 
4.1%
я 941
 
3.7%
т 926
 
3.6%
Other values (26) 7599
29.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 25474
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
и 2768
 
10.9%
о 2457
 
9.6%
2278
 
8.9%
е 2234
 
8.8%
н 1851
 
7.3%
а 1693
 
6.6%
р 1692
 
6.6%
в 1035
 
4.1%
я 941
 
3.7%
т 926
 
3.6%
Other values (26) 7599
29.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 25474
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
и 2768
 
10.9%
о 2457
 
9.6%
2278
 
8.9%
е 2234
 
8.8%
н 1851
 
7.3%
а 1693
 
6.6%
р 1692
 
6.6%
в 1035
 
4.1%
я 941
 
3.7%
т 926
 
3.6%
Other values (26) 7599
29.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 25474
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
и 2768
 
10.9%
о 2457
 
9.6%
2278
 
8.9%
е 2234
 
8.8%
н 1851
 
7.3%
а 1693
 
6.6%
р 1692
 
6.6%
в 1035
 
4.1%
я 941
 
3.7%
т 926
 
3.6%
Other values (26) 7599
29.8%

BMGc25
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size75.1 KiB
0
953 
1
370 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1323
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 953
72.0%
1 370
 
28.0%

Length

2024-04-17T15:00:37.142090image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T15:00:37.320493image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 953
72.0%
1 370
 
28.0%

Most occurring characters

ValueCountFrequency (%)
0 953
72.0%
1 370
 
28.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1323
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 953
72.0%
1 370
 
28.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1323
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 953
72.0%
1 370
 
28.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1323
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 953
72.0%
1 370
 
28.0%

BMGc27
Categorical

MISSING 

Distinct8
Distinct (%)0.9%
Missing447
Missing (%)33.8%
Memory size232.8 KiB
Не является приоритетом по сравнению с другими инвестициями
392 
Нехватка финансовых ресурсов
165 
Не выгодно
105 
Неопределенность в отношении регулирования
69 
Не знаю
52 
Other values (3)
93 

Length

Max length59
Median length42
Mean length40.155251
Min length6

Characters and Unicode

Total characters35176
Distinct characters34
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowНе является приоритетом по сравнению с другими инвестициями
2nd rowНехватка финансовых ресурсов
3rd rowОперационный и/ или технический риск
4th rowНехватка финансовых ресурсов
5th rowНе знаю

Common Values

ValueCountFrequency (%)
Не является приоритетом по сравнению с другими инвестициями 392
29.6%
Нехватка финансовых ресурсов 165
 
12.5%
Не выгодно 105
 
7.9%
Неопределенность в отношении регулирования 69
 
5.2%
Не знаю 52
 
3.9%
Неопределенность в отношении будущих цен 47
 
3.6%
Операционный и/ или технический риск 32
 
2.4%
Другое 14
 
1.1%
(Missing) 447
33.8%

Length

2024-04-17T15:00:37.473800image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T15:00:37.665228image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
не 549
11.9%
приоритетом 392
 
8.5%
по 392
 
8.5%
сравнению 392
 
8.5%
с 392
 
8.5%
другими 392
 
8.5%
инвестициями 392
 
8.5%
является 392
 
8.5%
нехватка 165
 
3.6%
финансовых 165
 
3.6%
Other values (15) 1007
21.7%

Most occurring characters

ValueCountFrequency (%)
и 4334
12.3%
3754
10.7%
е 3253
 
9.2%
н 2339
 
6.6%
о 2295
 
6.5%
с 2243
 
6.4%
р 2230
 
6.3%
т 1997
 
5.7%
в 1961
 
5.6%
я 1637
 
4.7%
Other values (24) 9133
26.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 35176
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
и 4334
12.3%
3754
10.7%
е 3253
 
9.2%
н 2339
 
6.6%
о 2295
 
6.5%
с 2243
 
6.4%
р 2230
 
6.3%
т 1997
 
5.7%
в 1961
 
5.6%
я 1637
 
4.7%
Other values (24) 9133
26.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 35176
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
и 4334
12.3%
3754
10.7%
е 3253
 
9.2%
н 2339
 
6.6%
о 2295
 
6.5%
с 2243
 
6.4%
р 2230
 
6.3%
т 1997
 
5.7%
в 1961
 
5.6%
я 1637
 
4.7%
Other values (24) 9133
26.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 35176
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
и 4334
12.3%
3754
10.7%
е 3253
 
9.2%
н 2339
 
6.6%
о 2295
 
6.5%
с 2243
 
6.4%
р 2230
 
6.3%
т 1997
 
5.7%
в 1961
 
5.6%
я 1637
 
4.7%
Other values (24) 9133
26.0%

BMGd6
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size48.0 KiB

BMGd7
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size75.1 KiB
0
1210 
1
 
113

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1323
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 1210
91.5%
1 113
 
8.5%

Length

2024-04-17T15:00:37.858921image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T15:00:37.968067image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 1210
91.5%
1 113
 
8.5%

Most occurring characters

ValueCountFrequency (%)
0 1210
91.5%
1 113
 
8.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1323
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 1210
91.5%
1 113
 
8.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1323
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 1210
91.5%
1 113
 
8.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1323
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 1210
91.5%
1 113
 
8.5%

BMGe1
Text

Distinct170
Distinct (%)12.8%
Missing0
Missing (%)0.0%
Memory size121.7 KiB
2024-04-17T15:00:38.226752image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Length

Max length9
Median length7
Mean length6.3159486
Min length1

Characters and Unicode

Total characters8356
Distinct characters17
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique102 ?
Unique (%)7.7%

Sample

1st row100000
2nd row160000
3rd rowНе знаю
4th rowНе знаю
5th row100000
ValueCountFrequency (%)
не 885
40.1%
знаю 885
40.1%
12000 19
 
0.9%
300000 18
 
0.8%
250000 15
 
0.7%
100000 12
 
0.5%
2500 12
 
0.5%
6000 11
 
0.5%
150000 11
 
0.5%
5000 11
 
0.5%
Other values (161) 329
 
14.9%
2024-04-17T15:00:38.709783image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1435
17.2%
Н 885
10.6%
885
10.6%
з 885
10.6%
н 885
10.6%
а 885
10.6%
ю 885
10.6%
е 885
10.6%
1 155
 
1.9%
5 138
 
1.7%
Other values (7) 433
 
5.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 8356
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 1435
17.2%
Н 885
10.6%
885
10.6%
з 885
10.6%
н 885
10.6%
а 885
10.6%
ю 885
10.6%
е 885
10.6%
1 155
 
1.9%
5 138
 
1.7%
Other values (7) 433
 
5.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 8356
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 1435
17.2%
Н 885
10.6%
885
10.6%
з 885
10.6%
н 885
10.6%
а 885
10.6%
ю 885
10.6%
е 885
10.6%
1 155
 
1.9%
5 138
 
1.7%
Other values (7) 433
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 8356
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 1435
17.2%
Н 885
10.6%
885
10.6%
з 885
10.6%
н 885
10.6%
а 885
10.6%
ю 885
10.6%
е 885
10.6%
1 155
 
1.9%
5 138
 
1.7%
Other values (7) 433
 
5.2%

BMGe2
Text

Distinct83
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Memory size114.9 KiB
2024-04-17T15:00:39.006201image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Length

Max length8
Median length7
Mean length5.0491308
Min length1

Characters and Unicode

Total characters6680
Distinct characters17
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)3.1%

Sample

1st row20000
2nd row18500
3rd rowНе знаю
4th rowНе знаю
5th row10000
ValueCountFrequency (%)
не 771
36.8%
знаю 771
36.8%
0 358
17.1%
90000 12
 
0.6%
55000 11
 
0.5%
37000 10
 
0.5%
18000 9
 
0.4%
20000 7
 
0.3%
92000 6
 
0.3%
10000 6
 
0.3%
Other values (74) 133
 
6.4%
2024-04-17T15:00:39.440429image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 960
14.4%
Н 771
11.5%
771
11.5%
з 771
11.5%
н 771
11.5%
а 771
11.5%
ю 771
11.5%
е 771
11.5%
5 74
 
1.1%
1 59
 
0.9%
Other values (7) 190
 
2.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 6680
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 960
14.4%
Н 771
11.5%
771
11.5%
з 771
11.5%
н 771
11.5%
а 771
11.5%
ю 771
11.5%
е 771
11.5%
5 74
 
1.1%
1 59
 
0.9%
Other values (7) 190
 
2.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 6680
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 960
14.4%
Н 771
11.5%
771
11.5%
з 771
11.5%
н 771
11.5%
а 771
11.5%
ю 771
11.5%
е 771
11.5%
5 74
 
1.1%
1 59
 
0.9%
Other values (7) 190
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 6680
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 960
14.4%
Н 771
11.5%
771
11.5%
з 771
11.5%
н 771
11.5%
а 771
11.5%
ю 771
11.5%
е 771
11.5%
5 74
 
1.1%
1 59
 
0.9%
Other values (7) 190
 
2.8%

BMGe2u
Categorical

IMBALANCE  MISSING 

Distinct2
Distinct (%)1.0%
Missing1129
Missing (%)85.3%
Memory size90.2 KiB
Литры
179 
Тонны
 
15

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters970
Distinct characters8
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowЛитры
2nd rowЛитры
3rd rowЛитры
4th rowЛитры
5th rowЛитры

Common Values

ValueCountFrequency (%)
Литры 179
 
13.5%
Тонны 15
 
1.1%
(Missing) 1129
85.3%

Length

2024-04-17T15:00:39.755820image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T15:00:40.297859image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
литры 179
92.3%
тонны 15
 
7.7%

Most occurring characters

ValueCountFrequency (%)
ы 194
20.0%
Л 179
18.5%
и 179
18.5%
т 179
18.5%
р 179
18.5%
н 30
 
3.1%
Т 15
 
1.5%
о 15
 
1.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 970
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
ы 194
20.0%
Л 179
18.5%
и 179
18.5%
т 179
18.5%
р 179
18.5%
н 30
 
3.1%
Т 15
 
1.5%
о 15
 
1.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 970
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
ы 194
20.0%
Л 179
18.5%
и 179
18.5%
т 179
18.5%
р 179
18.5%
н 30
 
3.1%
Т 15
 
1.5%
о 15
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 970
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
ы 194
20.0%
Л 179
18.5%
и 179
18.5%
т 179
18.5%
р 179
18.5%
н 30
 
3.1%
Т 15
 
1.5%
о 15
 
1.5%

ecology_index
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.9168556
Minimum0
Maximum9
Zeros536
Zeros (%)40.5%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-04-17T15:00:40.440250image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile6
Maximum9
Range9
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.2062444
Coefficient of variation (CV)1.1509706
Kurtosis0.48933306
Mean1.9168556
Median Absolute Deviation (MAD)1
Skewness1.1107854
Sum2536
Variance4.8675145
MonotonicityNot monotonic
2024-04-17T15:00:40.581427image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 536
40.5%
2 183
 
13.8%
1 172
 
13.0%
3 136
 
10.3%
4 117
 
8.8%
6 59
 
4.5%
5 58
 
4.4%
7 30
 
2.3%
8 20
 
1.5%
9 12
 
0.9%
ValueCountFrequency (%)
0 536
40.5%
1 172
 
13.0%
2 183
 
13.8%
3 136
 
10.3%
4 117
 
8.8%
5 58
 
4.4%
6 59
 
4.5%
7 30
 
2.3%
8 20
 
1.5%
9 12
 
0.9%
ValueCountFrequency (%)
9 12
 
0.9%
8 20
 
1.5%
7 30
 
2.3%
6 59
 
4.5%
5 58
 
4.4%
4 117
 
8.8%
3 136
 
10.3%
2 183
 
13.8%
1 172
 
13.0%
0 536
40.5%

Interactions

2024-04-17T15:00:15.875714image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-04-17T15:00:14.762346image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-04-17T15:00:15.149545image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-04-17T15:00:15.443244image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-04-17T15:00:16.006973image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-04-17T15:00:14.874480image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-04-17T15:00:15.224349image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-04-17T15:00:15.525384image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-04-17T15:00:16.128361image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-04-17T15:00:14.990481image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-04-17T15:00:15.297253image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-04-17T15:00:15.611598image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-04-17T15:00:16.244981image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-04-17T15:00:15.083196image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-04-17T15:00:15.375547image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-04-17T15:00:15.725773image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Missing values

2024-04-17T15:00:16.470244image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-17T15:00:17.072756image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

Unnamed: 0ida4aa6aa2a0b1b5b7ad1a1xg1aBMj4cj30_environment_posBMj5n2an2en2bn2fn2in2pBMGa1BMGa2BMGa4BMGb1BMGb2BMGc2BMGc5BMGc7BMGc8BMGc16BMGc18BMGc23aBMGc23bBMGc23cBMGc23dBMGc23eBMGc23fBMGc23gBMGc23hBMGc23iBMGc23jBMGc24BMGc25BMGc27BMGd6BMGd7BMGe1BMGe2BMGe2uecology_index
0022Готовые Металлические ИзделияМалыйЦентральный Федеральный округПроизводствоАкционерная компания с неторгуемыми акциями или акции, обращающиеся в частном порядке20070Производство Готовых Строительных Металлических Изделий И Конструкций00.504040000003500000500000400000NaN770000000000Каждый месяцКаждый месяц0NaN000011001110Модернизация машин и оборудования1NaN0010000020000Литры4
1129Машины и оборудованиеКрупныйЦентральный Федеральный округПроизводствоАкционерная компания с неторгуемыми акциями или акции, обращающиеся в частном порядке20020Производство Насосов И Компрессоров00.503015000000025000000010000001000000NaN41000000000000Каждый месяцКаждый месяц0NaN001010000100Модернизация машин и оборудования0Не является приоритетом по сравнению с другими инвестициями0016000018500Литры3
2234Другое ПроизводствоСреднийЦентральный Федеральный округПроизводствоАкционерная компания с неторгуемыми акциями или акции, обращающиеся в частном порядке20050Производство Алюминиевых И Медных Проводов, Силовых Кабелей1000.7510180000007800000018000001200000NaN10000000000000Каждый месяцКаждый месяц0NaN000000000010NaN0Нехватка финансовых ресурсов00Не знаюНе знаюNaN0
3350Готовые Металлические ИзделияМалыйЦентральный Федеральный округДругие услугиАкционерная компания с неторгуемыми акциями или акции, обращающиеся в частном порядке20150Строительство жилых и нежилых зданий01.00608000000NaN370000650000NaNNaN00000NaNNaN0NaN000000000000NaN0Операционный и/ или технический риск00Не знаюНе знаюNaN0
4456Другие УслугиМалыйЦентральный Федеральный округДругие услугиАкционерная компания с неторгуемыми акциями или акции, обращающиеся в частном порядке20020Оптовая Продажа Офисной Мебели00.50602000000NaN500000500000NaNNaN10000Каждый кварталNaN0NaN000011000010Модернизация машин и оборудования0Нехватка финансовых ресурсов0010000010000Литры2
5590Другие УслугиСреднийЦентральный Федеральный округДругие услугиАкционерная компания с неторгуемыми акциями или акции, обращающиеся в частном порядке19991Оптовая Торговля Промышленным Электрооборудованием01.009090000000NaN800000Не знаюNaNNaN00000Каждую неделюNaN0NaN100001000000NaN1NaN00Не знаюНе знаюNaN1
66103Другие УслугиСреднийЦентральный Федеральный округДругие услугиАкционерная компания с неторгуемыми акциями или акции, обращающиеся в частном порядке20020Гостиничная Деятельность00.75405000000NaN500000300000NaNNaN00000Каждый кварталNaN0NaN000011000010Управление энергопотреблением1NaN00800005500Литры2
77126Розничная торговляМалыйЦентральный Федеральный округРозничная торговляАкционерная компания с неторгуемыми акциями или акции, обращающиеся в частном порядке19940Розничная Торговля Запасными Частями и Комплектующими Для Стиральных Машин, Холодильников, Пылесосов, Другой Бытовой Техники.Не применимо1.00705600000NaN7800028800018000000NaN00000Каждый месяцNaN0NaN000000100010Минимизация отходов, вторичная переработка и управление отходами0Не знаю007800Не знаюNaN1
88135Другое ПроизводствоКрупныйЦентральный Федеральный округПроизводствоАкционерная компания с неторгуемыми акциями или акции, обращающиеся в частном порядке20050Компания производит Различные Резиновые изделия: Удлинители колесных арок автомобилей, Профили Для Модульных Грязеочистительных ковров, Светопрозрачные уплотнители Для Теплиц, Бассейнов, Противоскользящие накладки для ног, Уплотнения Для Воздуховодов Вентиляторных систем, Уплотнители для Ворот1001.00206300000012000000070000001500000NaN19500000010000Каждый месяцКаждый месяц0NaN101011111010Минимизация отходов, вторичная переработка и управление отходами1NaN00Не знаю30000Литры6
99139Неметаллические Минеральные продуктыСреднийЦентральный Федеральный округПроизводствоАкционерная компания с неторгуемыми акциями или акции, обращающиеся в частном порядке20040Производство товарного бетона1000.755064000000300000000300000011000000NaN48000000000000Каждый кварталКаждый квартал0NaN000011001110Модернизация машин и оборудования1NaN00500000200000Литры4
Unnamed: 0ida4aa6aa2a0b1b5b7ad1a1xg1aBMj4cj30_environment_posBMj5n2an2en2bn2fn2in2pBMGa1BMGa2BMGa4BMGb1BMGb2BMGc2BMGc5BMGc7BMGc8BMGc16BMGc18BMGc23aBMGc23bBMGc23cBMGc23dBMGc23eBMGc23fBMGc23gBMGc23hBMGc23iBMGc23jBMGc24BMGc25BMGc27BMGd6BMGd7BMGe1BMGe2BMGe2uecology_index
13131313699445Розничная торговляКрупныйЮжный федеральный округ и Северо-Кавказский федеральный округРозничная торговляАкционерная компания с неторгуемыми акциями или акции, обращающиеся в частном порядке20111Розничная Торговля Сладостями И Хлебобулочными Изделиями300.75605500000NaN009000000NaN01001Каждый месяцNaN0NaN000000000000NaN0Не является приоритетом по сравнению с другими инвестициями0050000NaN0
13141314699482Розничная торговляКрупныйУральский федеральный округРозничная торговляАкционерная компания с неторгуемыми акциями или акции, обращающиеся в частном порядке20081Розничная Продажа лекарственных средств В Специализированных магазинах (аптеках)00.7560102000000NaN2700000Не знаю2000000000NaN00000NaNNaN0NaN001000000000NaN0Не является приоритетом по сравнению с другими инвестициями00Не знаю0NaN1
13151315699488Розничная торговляКрупныйСеверо-Западный федеральный округРозничная торговляАкционерная компания с неторгуемыми акциями или акции, обращающиеся в частном порядке20110Розничная Торговля Настольными ИграмиНе применимо1.0070Не знаюNaNНе знаюНе знаюНе знаюNaN00000Каждый месяцNaN0NaN000000000000NaN0Не является приоритетом по сравнению с другими инвестициями00Не знаюНе знаюNaN0
13161316699522Розничная торговляКрупныйЮжный федеральный округ и Северо-Кавказский федеральный округРозничная торговляАкционерная компания с неторгуемыми акциями или акции, обращающиеся в частном порядке20000Розничная Торговля Алкогольными напиткамиНе знаю1.0041Не знаюNaNНе знаюНе знаюНе знаюNaN00000NaNNaN0NaN000000000000NaN0Неопределенность в отношении будущих цен00Не знаюНе знаюNaN0
13171317699557Розничная торговляКрупныйЦентральный Федеральный округРозничная торговляАкционерная компания с неторгуемыми акциями или акции, обращающиеся в частном порядке20110Розничная Продажа ОдеждыНе применимо1.0080392400000NaN3000000310000003288000000NaN10000Каждый месяцNaN0NaN000000101010Минимизация отходов, вторичная переработка и управление отходами0Не является приоритетом по сравнению с другими инвестициями00Не знаюНе знаюNaN2
13181318699748Розничная торговляКрупныйПриволжский федеральный округРозничная торговляАкционерная компания с неторгуемыми акциями или акции, обращающиеся в частном порядке20080Сеть Супермаркетов, Торгующих продуктами питания С широким ассортиментом (Молочные продукты, Мясо, Алкоголь, Бакалея). Также Сеть Магазинов Розничной продажи Товаров Для Детей (Одежда, Игрушки, Детское питание).300.5030Не знаюNaN5500000Не знаюНе знаюNaN00100Каждую неделюNaN0NaN000010100110Модернизация машин и оборудования1NaN10Не знаюНе знаюNaN3
13191319699752Розничная торговляКрупныйЦентральный Федеральный округРозничная торговляАкционерная компания с неторгуемыми акциями или акции, обращающиеся в частном порядке20010Розничная Торговля продуктами питания1000.756077000000NaN40000003500000220000000NaN00010Каждый месяцNaN0NaN000010001110Управление водными ресурсами0Не является приоритетом по сравнению с другими инвестициями0050000090000Литры3
13201320699770Розничная торговляКрупныйДальневосточный федеральный округРозничная торговляАкционерная компания с неторгуемыми акциями или акции, обращающиеся в частном порядке20050Розничная Продажа Бытовых ЭлектроприборовНе применимо1.0050Не знаюNaNНе знаюНе знаюНе знаюNaN00000NaNNaN0NaN000000100000NaN0Не выгодно00Не знаю0NaN1
13211321699775Розничная торговляКрупныйСибирский федеральный округДругие услугиАкционерная компания с неторгуемыми акциями или акции, обращающиеся в частном порядке20020Розничная Продажа Моторного топлива В Специализированных магазинах.Не применимо1.0011Не знаюNaNНе знаюНе знаюNaNNaN00100Каждый месяцNaN10100011001110Не знаю1NaN00Не знаюНе знаюNaN4
13221322699777Розничная торговляКрупныйУральский федеральный округРозничная торговляАкционерная компания с неторгуемыми акциями или акции, обращающиеся в частном порядке19991Розничная Продажа Продуктов Питания И Напитков01.0071Не знаюNaNНе знаюНе знаюНе знаюNaN00100Каждый кварталNaN0NaN101111001110Усовершенствования системы освещения1NaN01Не знаюНе знаюNaN6